(1) Clustered Accounting Period Similarity Matrix

This heatmap displays the similarity between various accounting periods. The y-axis and x-axis both list 16 periods: 2017-April_to_September, 2017-October_to_March, 2018-April_to_September, 2018-October_to_March, 2019-April_to_September, 2019-October_to_March, 2020-April_to_September, 2020-October_to_March, 2021-April_to_September, 2021-October_to_March, 2022-April_to_September, 2022-October_to_March, 2023-April_to_September, 2023-October_to_March, 2024-April_to_September, and 2024-October_to_March. The diagonal line of dark squares indicates that each period has a similarity of 1 with itself. The matrix is symmetric. The color scale on the right indicates similarity values from 0.0000 to 0.0200.

(2) Accounting Period Subnetwork Similarity

This scatter plot shows the relationship between Dimension 1 and Dimension 2 for the accounting periods. The x-axis (Dimension 1) ranges from -20 to 40, and the y-axis (Dimension 2) ranges from -30 to 30. The periods are plotted as points: 2018-October_to_March (top right), 2019-October_to_March, 2019-April_to_September, 2020-April_to_September (left), 2017-April_to_September, 2018-April_to_September, 2017-October_to_March, 2020-October_to_March (left), 2021-April_to_September, 2023-April_to_September, 2021-October_to_March (left), 2023-October_to_March, 2024-October_to_March (bottom right), 2022-October_to_March (bottom left), 2024-April_to_September, and 2022-April_to_September (bottom left).